scholarly journals Precision Agriculture: A Remote Sensing Monitoring System Architecture †

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 348 ◽  
Author(s):  
Anna Triantafyllou ◽  
Panagiotis Sarigiannidis ◽  
Stamatia Bibi
Keyword(s):  
Precision Agriculture ◽  
Agricultural Practices ◽  
Monitoring Systems ◽  
Reference Architecture ◽  
Application Layer ◽  
Sensor Layer ◽  
Architecture Model ◽  
Real World Application ◽  
Smart Farming ◽  
The Internet Of Things

Smart Farming is a development that emphasizes on the use of modern technologies in the cyber-physical field management cycle. Technologies such as the Internet of Things (IoT) and Cloud Computing have accelerated the digital transformation of the conventional agricultural practices promising increased production rate and product quality. The adoption of smart farming though is hampered because of the lack of models providing guidance to practitioners regarding the necessary components that constitute IoT-based monitoring systems. To guide the process of designing and implementing Smart farming monitoring systems, in this paper we propose a generic reference architecture model, taking also into consideration a very important non-functional requirement, the energy consumption restriction. Moreover, we present and discuss the technologies that incorporate the seven layers of the architecture model that are the Sensor Layer, the Link Layer, the Encapsulation Layer, the Middleware Layer, the Configuration Layer, the Management Layer and the Application Layer. Furthermore, the proposed Reference Architecture model is exemplified in a real-world application for surveying Saffron agriculture in Kozani, Greece.

IoT-Based Precision Agriculture System

2020 ◽  
pp. 1-7
Author(s):  
Sarita Tripathy ◽  
Shaswati Patra
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Modern Method ◽  
The Internet ◽  
Huge Number ◽  
Traditional Farming ◽  
Smart Farming ◽  
Different Types ◽  
Farm Vehicles ◽  
The Internet Of Things

The huge number of items associated with web is known as the internet of things. It is associated with worldwide data consisting of various components and different types of gadgets, sensors, and software, and a large variety of other instruments. A large number of applications that are required in the field of agriculture should implement methods that should be realistic and reliable. Precision agriculture practices in farming are more efficient than traditional farming techniques. Precision farming simultaneously analyzes data along with generating it by the use of sensors. The application areas include tracking of farm vehicles, monitoring of the livestock, observation of field, and monitoring of storage. This type of system is already being accepted and adopted in many countries. The modern method of smart farming has started utilizing the IoT for better and faster yield of crops. This chapter gives a review of the various IoT techniques used in smart farming.

scholarly journals 4.0 For Agriculture

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Aylin Yılmaz ◽  
M. Atilla Arıcıoğlu ◽  
Nadiye Gülnar
Keyword(s):  
Industry 4.0 ◽  
Agricultural Sector ◽  
Agricultural Practices ◽  
Agricultural Field ◽  
Use Of Technology ◽  
Smart Farming ◽  
The World ◽  
Technological Developments ◽  
The Internet Of Things ◽  
Better Than

Recently, there was a struggle to control the volume of production and the volume of production between countries and regions in the world. Rather, western countries had a desire to attract investments in the east to their own countries and regions. This desire has led to the emergence of the Industry 4.0 phenomenon of the West, which is Germany. In other words, with this phenomenon, the industry is aimed to digitize production more and contribute to the issues of speed, efficiency and flexibility by providing digitalization in production. With these changes, Industry 4.0, was seen that the system was working better than it was and production was made cheaper than the system, when taking the muscle strength out of the system. While the positive contributions of Industry 4.0 have resonated with all sectors, it has also started to have an impact on the agricultural sector. Problems such as scarcity in the world, not using natural resources effectively and not using technology in the agricultural field, have caused the emergence of digitalization in the agricultural sector. "Agriculture 4.0", wich means making smart production with smart farming practices by using the concepts, information and technologies in the literature. In line with the possibilities and technological developments offered by Industry 4.0, it enables the sensors to be seen in all agricultural machines from the tractor to the crop tools and the communication of the machines in the entire production process by entering the internet of things into the agricultural sector. As a matter of fact, with the agriculture 4.0, the traditional agriculture paradigm has not been sufficient anymore and it contributes to sustainability, to be productive, to protect the rural texture, to protect the environmental quality and to provide accessible food by undergoing changes and agricultural practices. In the study, the problems experienced in the agricultural sector, the effects of Agriculture 4.0 on these problems and how they will benefit are discussed. The use of technology has given the system its name and agriculture has also taken its share in the developments. Accordingly, what are the practices of Agriculture 4.0 in the world and how their contributions are investigated.

scholarly journals A Microservice-Based Framework for Developing Internet of Things and People Applications

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 85 ◽  
Author(s):  
Aurora Macías ◽  
Elena Navarro ◽  
Pascual González
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Reference Architecture ◽  
Design Development ◽  
Application Layer ◽  
New Paradigm ◽  
P Application ◽  
Collection And Management ◽  
Domain Independent ◽  
The Internet Of Things

The Internet of things (IoT) is characterized by billions of heterogeneous, distributed, and intelligent objects—both from the digital and the physical worlds—running applications and services. Objects are connected through heterogeneous platforms providing support for the collection and management of data that need to be understood. Since IoT systems are composed by a variety of objects and services, a key aspect for engineering them is their architecture. The new paradigm called Internet of people (IoP) is not unaware of this need. In IoP, humans play an important role so that design considering aspects as context becomes critical for making the most of these applications. This work presents a context-aware, serverless, microservice-based, and cloud-centric framework for the Internet of things and people (IoT-P) applications that extends the three-layer classic IoT reference architecture. It integrates most of the aspects considered by the architecture of IoT solutions emerging from different perspectives, being also domain independent. This work focuses on the application paradigm of IoT neglected by most proposals. This framework, combined with a previous work, offers a higher separation of concerns (SoC) degree than other proposals, by splitting the application layer into different sublayers or subsystems based on their responsibilities and tracing atomic components to serverless microservices, to facilitate the design, development, and deployment of IoT-P applications. An IoT-P application in the healthcare domain is presented to illustrate how this framework can be put into practice.

Semantic interoperability in IoT-based automation infrastructures

2016 ◽  
Vol 64 (9) ◽  
Author(s):  
Reinhard Herzog ◽  
Michael Jacoby ◽  
Ivana Podnar Žarko
Keyword(s):  
Internet Of Things ◽  
Semantic Interoperability ◽  
Industrie 4.0 ◽  
The Internet ◽  
Reference Architecture ◽  
Functional Architecture ◽  
Architecture Model ◽  
Industrial Internet ◽  
The Internet Of Things

AbstractThe paper analyses and compares the different approaches to achieve semantic interoperability of the most influential IoT reference architectures, namely the Industrial Internet Reference Architecture, Reference Architecture Model Industrie 4.0, ISO/IEC Internet of Things Reference Architecture, the Internet of Things – Architecture (IoT-A) and oneM2M functional architecture.

scholarly journals Design of a Data Management Reference Architecture for Sustainable Agriculture

2021 ◽  
Vol 13 (13) ◽  
pp. 7309
Author(s):  
Görkem Giray ◽  
Cagatay Catal
Keyword(s):  
Sustainable Agriculture ◽  
Data Management ◽  
Precision Agriculture ◽  
Domain Modeling ◽  
Reference Architecture ◽  
Design Data ◽  
High Productivity ◽  
Smart Farming ◽  
Operational Systems ◽  
Efficient Data

Effective and efficient data management is crucial for smart farming and precision agriculture. To realize operational efficiency, full automation, and high productivity in agricultural systems, different kinds of data are collected from operational systems using different sensors, stored in different systems, and processed using advanced techniques, such as machine learning and deep learning. Due to the complexity of data management operations, a data management reference architecture is required. While there are different initiatives to design data management reference architectures, a data management reference architecture for sustainable agriculture is missing. In this study, we follow domain scoping, domain modeling, and reference architecture design stages to design the reference architecture for sustainable agriculture. Four case studies were performed to demonstrate the applicability of the reference architecture. This study shows that the proposed data management reference architecture is practical and effective for sustainable agriculture.

scholarly journals A Low-Cost Platform for Environmental Smart Farming Monitoring System Based on IoT and UAVs

2021 ◽  
Vol 13 (11) ◽  
pp. 5908
Author(s):  
Faris A. Almalki ◽  
Ben Othman Soufiene ◽  
Saeed H. Alsamhi ◽  
Hedi Sakli
Keyword(s):  
Precision Agriculture ◽  
Low Cost ◽  
Environmental Parameters ◽  
Cost Effective ◽  
Crop Productivity ◽  
Environmental Data ◽  
Smart Farming ◽  
Smart Agriculture ◽  
Real Scenario ◽  
The Internet Of Things

When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs) occurred, tens of applications including smart agriculture have emerged to offer innovative solutions to modernize the farming sector. This paper aims to present a low-cost platform for comprehensive environmental parameter monitoring using flying IoT. This platform is deployed and tested in a real scenario on a farm in Medenine, Tunisia, in the period of March 2020 to March 2021. The experimental work fulfills the requirements of automated and real-time monitoring of the environmental parameters using both under- and aboveground sensors. These IoT sensors are on a farm collecting vast amounts of environmental data, where it is sent to ground gateways every 1 h, after which the obtained data is collected and transmitted by a drone to the cloud for storage and analysis every 12 h. This low-cost platform can help farmers, governmental, or manufacturers to predict environmental data over the geographically large farm field, which leads to enhancement in crop productivity and farm management in a cost-effective, and timely manner. Obtained experimental results infer that automated and human-made sets of actions can be applied and/or suggested, due to the innovative integration between IoT sensors with the drone. These smart actions help in precision agriculture, which, in turn, intensely boost crop productivity, saving natural resources.

scholarly journals RadioWave Attenuation Measurement System Based on RSSI for Precision Agriculture: Application to Tomato Greenhouses

Inventions ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 66
Author(s):  
Dora Cama-Pinto ◽  
Juan Antonio Holgado-Terriza ◽  
Miguel Damas-Hermoso ◽  
Francisco Gómez-Mula ◽  
Alejandro Cama-Pinto
Keyword(s):  
Precision Agriculture ◽  
Wave Attenuation ◽  
Signal Strength ◽  
Research Community ◽  
Raspberry Pi ◽  
Radio Waves ◽  
Received Signal Strength Indicator ◽  
Smart Farming ◽  
Free Band ◽  
The Internet Of Things

Precision agriculture and smart farming are concepts that are acquiring an important boom due to their relationship with the Internet of things (IoT), especially in the search for new mechanisms and procedures that allow for sustainable and efficient agriculture to meet future demand from an increasing population. Both concepts require the deployment of sensor networks that monitor agricultural variables for the integration of spatial and temporal agricultural data. This paper presents a system that has been developed to measure the attenuation of radio waves in the 2.4 GHz free band (ISM- Industrial, Scientific and Medical) when propagating inside a tomato greenhouse based on the received signal strength indicator (RSSI), and a procedure for using the system to measure RSSI at different distances and heights. The system is based on Zolertia Re-Mote nodes with the Contiki operating system and a Raspberry Pi to record the data obtained. The receiver node records the RSSI at different locations in the greenhouse with the transmitter node and at different heights. In addition, a study of the radio wave attenuation was measured in a tomato greenhouse, and we publish the corresponding obtained dataset in order to share with the research community.

Monitoring and Detecting Plant Diseases Using Cloud-Based Internet of Things

2021 ◽  
pp. 217-235
Author(s):  
Taranjeet Singh ◽  
Devendra Singh ◽  
S. S. Bedi
Keyword(s):  
Internet Of Things ◽  
Economic Performance ◽  
Precision Agriculture ◽  
Plant Diseases ◽  
Metropolitan Region ◽  
The Internet ◽  
Future Perspectives ◽  
Agricultural Efficiency ◽  
Smart Farming ◽  
The Internet Of Things

A device composed of actuators is the internet of things. The internet of things (IoT) should be used for enhancing agricultural efficiency in precision agriculture. The bedrock of the Indian economy, agriculture, is adding to the country's total economic performance. Nevertheless, the efficiency contrasts with world norms. Regardless of the usage of minimum agricultural advancements and farmers from villages today for other productive enterprises, regions move to a metropolitan region, and they cannot rely on agriculture. Farming creativity is not new, but smart farming is expected to be pushed to the following internet level by IoT, a unit made up of actuators or sensors. This chapter demonstrates IoT's role in agriculture and its use in identifying plant diseases through leaf images. Several researchers' works in the domain are also outlined, and future perspectives of IoT in recognizing plant diseases are discussed briefly.

scholarly journals Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review

2020 ◽  
Vol 41 (03) ◽  
Author(s):  
A. Narmilan ◽  
N. Puvanitha
Keyword(s):  
Internet Of Things ◽  
Environmental Degradation ◽  
Precision Agriculture ◽  
Agricultural Practices ◽  
Farming System ◽  
Agricultural Pollution ◽  
The Internet ◽  
Agricultural Field ◽  
Mitigation Techniques ◽  
The Internet Of Things

The widespread of Information and Communication Technology (ICT) in the past decades brought numerous advantages to many individuals and most of the organizations everywhere in the world. In the 21st century, the most significant technology is the Internet of Things (IoTs) which has developed rapidly covering most of applications in the health, civil, military and agriculture sectors also. Precision Agriculture (PA), as the combination of information, communication and control technologies in agronomic practices, is emerging time by time. Also, precision agriculture is considered a smart farming system on the basis of modern technologies to regulate, examine and manage changes inside an agricultural field for cost-effectiveness, sustainability and optimal protection of environment. Meanwhile, agricultural practices are contributing to environmental pollution due to poor management which is further disturbing food security, health and climate. One of the best strategies to overcome this challenge can be introducing the deployment of precision technologies for the development of agricultural productivity while reducing the environmental degradation. Therefore, the key objective of this review was to discuss the mitigation techniques for agricultural pollution and enhance the agricultural production by smart technologies like IoTs. This paper summarizes the main categories of IoTs, Precision Agriculture, agricultural pollution and finally, mitigation practices on environmental degradation.

scholarly journals Technology in Indian agriculture - a review

2020 ◽  
Vol 20 (2) ◽  
pp. 1070
Author(s):  
R S Upendra ◽  
I M Umesh ◽  
R B Ravi Varma ◽  
B Basavaprasad
Keyword(s):  
Big Data ◽  
Crop Yield ◽  
Precision Agriculture ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Agricultural Practices ◽  
Advanced Technology ◽  
Economic Losses ◽  
Smart Farming ◽  
Digital Agriculture

Optimization of agricultural practices for enhanced crop yield is considered to be essential phenomena for the countries like India. In order to strengthen the economy and also to meet the food demand for the exponentially growing population, optimizing the agricultural practices has become necessity. In India, weather and geographical conditions are highly variable and were thought to be the major bottleneck of agricultural practices to achieve improved crop yield. Agricultural practices in India are facing many challenges such as change in climatic conditions, different geographical environment, conventional agricultural practices; economic and political scenario. Economic loss due to the lack of information on crop yield productivity is another major concern in the country. These hurdles can be overcome by the implementation of advanced technology in agriculture. Some of the trends observed are smart farming, digital agriculture and Big Data Analytics which provide useful information regarding various crop yields influencing factors and predicting the accurate amounts of crop yield. The exact prediction of crop yield helps formers to develop a suitable cultivation plan, crop health monitoring system, management of crop yield efficiently and also to establish the business strategy in order to decrease economic losses. This also makes the agricultural practices as one of the highly profitable venture. This paper presents insights on the various applications of technology advancements in agriculture such as Digital Agriculture, Smart Farming or Internet of Agriculture Technology (IoAT), Precision Agriculture, Crop Management, Weed and Pest control, Crop protection and Big data analytics.

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